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Available as Markdown and JSON. Pod is also available over MCP.

LiftTrack MCP Server

Connect Claude to your LiftTrack strength training data. Review completed workouts, explore exercise performance and training maxes, check upcoming sessions, and browse saved workouts and programs. Use your Coach Profile, equipment, goals, and training history to inform workout planning.

Search the exercise catalog and create or update workout templates with sets, loads, rest timers, supersets, and percentage-based training. With your approval, Claude can also delete workout templates and update training maxes. Workouts are saved in LiftTrack, where you can use them in the app and sync them to a compatible Garmin watch.

Requires a LiftTrack account.

Authorization required. Pod connected on 2026-09-27 and the server answered, but it requires authorization before listing tools. The 18 tools below remain publisher-reported and unverified.

Categorised under health. Published by lifttrackapp.com.

At a glance

Available in: claude, claude-api, claude-code, claude-desktop

Documentation: Open docs

Status

Pod connected to LiftTrack on 2026-09-27. It answered, but requires authorization before it will list its tools, responding in 208ms.

Why the tool list is not verified

LiftTrack refuses an anonymous tools/list, which is the correct thing for a server holding real user data to do. Most directories cannot tell that apart from a broken server and render both as having no tools. It is not broken — it is gated, and it answered us to say so.

Tools

Its publisher lists 18 tools. Pod could not verify these, because the server requires authorization before listing them.

Show all 18 publisher-reported tools
  • create_workout
  • delete_workout
  • get_activities
  • get_coach_profile
  • get_exercise_history
  • get_folders
  • get_program_detail
  • get_programs
  • get_schedule
  • get_training_maxes
  • get_user_settings
  • get_weekly_training_status
  • get_workout_detail
  • get_workout_templates
  • search_exercises
  • set_training_max
  • update_workout
  • validate_exercise_names

Connect

A hosted endpoint at https://mcp.lifttrackapp.com, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "lifttrack": {
      "type": "http",
      "url": "https://mcp.lifttrackapp.com"
    }
  }
}

A hosted endpoint at https://mcp.lifttrackapp.com, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "lifttrack": {
      "type": "http",
      "url": "https://mcp.lifttrackapp.com"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used LiftTrack yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.

Related servers

For agents

Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.

See setup and API details

Search MCPs

Call find_mcp to find LiftTrack, alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:

{
  "query": "LiftTrack",
  "limit": 5
}

Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.

Prefer HTTP? Search the same canonical index directly:

curl --get 'https://api.askpod.ai/v1/mcps' \
  --data-urlencode 'query=LiftTrack' \
  --data-urlencode 'limit=5'

This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.

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